Missing data is a common problem faced with real-world datasets. Imputation widely used technique to estimate the missing data. State-of-the-art imputation approaches model distribution of observed approximate values. Such an approach usually models single for entire dataset, which overlooks class-specific characteristics Class-specific are especially useful when there class imbalance. We propo...

The intelligent diagnosis of rotating machinery with big data has been widely studied. However, due to the variability working conditions and difficulty in marking fault samples, it is difficult obtain enough high-quality for training bearing models practical industrial application scenarios. Aiming at problem imbalance caused by lack a novel metalearning method (MOFD) proposed get solution und...

The system of intrusion detection dataset enables machine learning to recognize attack activity in the network. intrusion, however, is naturally imbalanced, most traffic normal traffic. Moreover, a certain more popular than others. Therefore, number cases highly imbalanced with majority attacks dominated by Distributed Denial Services (DDoS), Service Hulk (DoS_Hulk), and PortScan 4.5% data. Whi...

Learning from class imbalanced datasets poses challenges for many machine learning algorithms. Many real-world domains are, by definition, virtue of having a majority that naturally has more instances than its minority (e.g., genuine bank transactions occur much often fraudulent ones). methods have been proposed to solve the imbalance problem, among most popular being oversampling techniques (s...

Tracer Study is a mandatory aspect of accreditation assessment in Indonesia. The Indonesian Ministry Education requires all Indonesia Universities to anually report graduate tracer study reports the government. also needed by University evaluating success learning that has been applied curriculum. One things need be evaluated level absorption graduates into working industry, so machine model as...

Fault detection prediction of FAB (wafer fabrication) process in semiconductor manufacturing process is possible that improve product quality and reliability in accordance with the classification performance. However, FAB process is sometimes due to a fault occurs. And mostly it occurs “pass”. Hence, data imbalance occurs in the pass/fail class. If the data imbalance occurs, prediction models a...